1. Understand Hypothesis Testing Basics: Gain foundational knowledge of hypothesis testing, focusing on its importance and application for numerical variables in data analysis.

2. Learn One-Sample T-Test: Explore the process of conducting a one-sample T-test, including assumptions like normality and interpreting results effectively.

3. Explore Two-Sample T-Test: Understand how to compare means of two independent groups using a two-sample T-test, with considerations for equal or unequal variances.

4. Apply Paired T-Test Concepts: Learn to analyze paired data by calculating differences and performing a paired T-test to assess changes or improvements.